Towards machine-learning driven prognostics and health management of Li-ion batteries. A comprehensive review
Prognostics and health management (PHM) has emerged as a vital research discipline for
optimizing the maintenance of operating systems by detecting health degradation and …
optimizing the maintenance of operating systems by detecting health degradation and …
Multi-model ensemble learning for battery state-of-health estimation: Recent advances and perspectives
The burgeoning market for lithium-ion batteries has stimulated a growing need for more
reliable battery performance monitoring. Accurate state-of-health (SOH) estimation is critical …
reliable battery performance monitoring. Accurate state-of-health (SOH) estimation is critical …
End-to-end capacity estimation of Lithium-ion batteries with an enhanced long short-term memory network considering domain adaptation
Real-time capacity estimation of lithium-ion batteries is crucial but challenging in battery
management systems (BMSs). Due to the complexity of battery degradation mechanism …
management systems (BMSs). Due to the complexity of battery degradation mechanism …
State of health estimation of power batteries based on multi-feature fusion models using stacking algorithm
G Liu, X Zhang, Z Liu - Energy, 2022 - Elsevier
The data-driven method is used widely to estimate the state of health (SOH) of the battery,
but the selection of data features and the data training methods affect the estimation results …
but the selection of data features and the data training methods affect the estimation results …
Improved sparrow search algorithm optimization deep extreme learning machine for lithium-ion battery state-of-health prediction
Accurate state-of-health (SOH) prediction of lithium-ion batteries (LIBs) plays an important
role in improving the performance and assuring the safe operation of the battery energy …
role in improving the performance and assuring the safe operation of the battery energy …
State of health estimation for lithium-ion batteries on few-shot learning
State of health (SOH) is a critical indicator for implementing detection, diagnostics and
prognostics on lithium-ion batteries. However, considering the difficulty of data collection …
prognostics on lithium-ion batteries. However, considering the difficulty of data collection …
SOH estimation for lithium-ion batteries: an improved GPR optimization method based on the developed feature extraction
Y He, W Bai, L Wang, H Wu, M Ding - Journal of Energy Storage, 2024 - Elsevier
Accurate estimation of the State of Health (SOH) for lithium-ion batteries is necessary for the
stable operation of the battery system. To accurately estimate the SOH for lithium-ion …
stable operation of the battery system. To accurately estimate the SOH for lithium-ion …
Indirect prediction of remaining useful life for lithium-ion batteries based on improved multiple kernel extreme learning machine
Y Zhang, H Ma, S Wang, S Li, R Guo - Journal of Energy Storage, 2023 - Elsevier
Lithium-ion batteries (LIBs) will undergo aging after a certain period of operation. Predicting
RUL in advance is critical to ensure a reliable energy supply from the battery system. To …
RUL in advance is critical to ensure a reliable energy supply from the battery system. To …
A multi-model feature fusion model for lithium-ion battery state of health prediction
State of health (SOH) prediction is key to battery health management and safety. Health
indicators (HIs) are effective and feasible to predict battery SOH. The existing approaches …
indicators (HIs) are effective and feasible to predict battery SOH. The existing approaches …
[HTML][HTML] Integrating ensemble learning and meta bagging techniques for temperature-specific State of Health prediction in Lithium-ion Batteries
Accurately predicting the State of Health (SOH) of lithium-ion batteries is crucial in the field of
battery technology to guarantee operational dependability and durability. This study …
battery technology to guarantee operational dependability and durability. This study …